


How to use the os module to create and delete directories in Python 3.x
How to use the os module to create and delete directories in Python 3.x
In Python programming, we often need to deal with files and directories. The os module is a useful standard library in Python that provides many functions for operating files and directories. Among them, creating and deleting directories are two basic operations. This article will teach you how to use the os module to implement these functions.
1. Create a directory
In Python, use the mkdir() function of the os module to create a new directory. The following is a sample code that demonstrates how to use the os module to create a new directory named "testdir":
import os # 定义要创建的目录路径 dir_path = r"C:UsersusernameDesktop estdir" # 使用mkdir()函数创建目录 os.mkdir(dir_path) print("目录已创建")
In the above code, first we need to specify a path to store the new directory, here we use Here are examples of paths in Windows systems. Then we called the mkdir() function of the os module to create the directory, and the parameter passed in was the directory path we defined. Finally, we print out a message confirming that the directory has been successfully created.
It should be noted that the os.mkdir() function can only create a single-layer directory. If you want to create multiple levels of directories, you can use the os.makedirs() function. The following is a sample code that demonstrates how to create a directory named "parentdirchilddir":
import os # 定义要创建的目录路径 dir_path = r"C:UsersusernameDesktopparentdirchilddir" # 使用makedirs()函数创建多层目录 os.makedirs(dir_path) print("目录已创建")
In the above code, we use the os.makedirs() function to create a multi-level directory. The parameter dir_path defines the directory path we want to create. It should be noted that if the directory already exists, the os.makedirs() function will throw an OSError exception.
2. Delete a directory
In Python, use the rmdir() function of the os module to delete a directory. The following is a sample code that demonstrates how to use the os module to delete a directory named "testdir":
import os # 定义要删除的目录路径 dir_path = r"C:UsersusernameDesktop estdir" # 使用rmdir()函数删除目录 os.rmdir(dir_path) print("目录已删除")
In the above code, we also need to specify a path to specify the directory to be deleted. Then we called the rmdir() function of the os module, and the parameter passed in was the directory path. Finally, we print out a message confirming that the directory has been successfully deleted.
It should be noted that the os.rmdir() function can only delete empty directories. If you want to delete non-empty directories, you can use the shutil library of the os module. The following is a sample code that demonstrates how to delete a non-empty directory named "parentdir":
import os import shutil # 定义要删除的目录路径 dir_path = r"C:UsersusernameDesktopparentdir" # 使用shutil.rmtree()函数删除非空目录 shutil.rmtree(dir_path) print("目录已删除")
In the above code, we introduced the shutil library of the os module and used shutil.rmtree() Function deletes non-empty directories. The parameter dir_path defines the directory path we want to delete.
To sum up, using the os module can easily create and delete directories. Whether it is the creation of a single-layer directory or a multi-layer directory, as well as the deletion of an empty directory or a non-empty directory, it can be achieved through the corresponding functions of the os module. These operations can help us better manage files and directories and make our code more standardized and efficient.
The above is the detailed content of How to use the os module to create and delete directories in Python 3.x. For more information, please follow other related articles on the PHP Chinese website!

Python is suitable for data science, web development and automation tasks, while C is suitable for system programming, game development and embedded systems. Python is known for its simplicity and powerful ecosystem, while C is known for its high performance and underlying control capabilities.

You can learn basic programming concepts and skills of Python within 2 hours. 1. Learn variables and data types, 2. Master control flow (conditional statements and loops), 3. Understand the definition and use of functions, 4. Quickly get started with Python programming through simple examples and code snippets.

Python is widely used in the fields of web development, data science, machine learning, automation and scripting. 1) In web development, Django and Flask frameworks simplify the development process. 2) In the fields of data science and machine learning, NumPy, Pandas, Scikit-learn and TensorFlow libraries provide strong support. 3) In terms of automation and scripting, Python is suitable for tasks such as automated testing and system management.

You can learn the basics of Python within two hours. 1. Learn variables and data types, 2. Master control structures such as if statements and loops, 3. Understand the definition and use of functions. These will help you start writing simple Python programs.

How to teach computer novice programming basics within 10 hours? If you only have 10 hours to teach computer novice some programming knowledge, what would you choose to teach...

How to avoid being detected when using FiddlerEverywhere for man-in-the-middle readings When you use FiddlerEverywhere...

Error loading Pickle file in Python 3.6 environment: ModuleNotFoundError:Nomodulenamed...

How to solve the problem of Jieba word segmentation in scenic spot comment analysis? When we are conducting scenic spot comments and analysis, we often use the jieba word segmentation tool to process the text...


Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

AI Hentai Generator
Generate AI Hentai for free.

Hot Article

Hot Tools

Dreamweaver CS6
Visual web development tools

SecLists
SecLists is the ultimate security tester's companion. It is a collection of various types of lists that are frequently used during security assessments, all in one place. SecLists helps make security testing more efficient and productive by conveniently providing all the lists a security tester might need. List types include usernames, passwords, URLs, fuzzing payloads, sensitive data patterns, web shells, and more. The tester can simply pull this repository onto a new test machine and he will have access to every type of list he needs.

PhpStorm Mac version
The latest (2018.2.1) professional PHP integrated development tool

ZendStudio 13.5.1 Mac
Powerful PHP integrated development environment

SublimeText3 Linux new version
SublimeText3 Linux latest version